基于分布式梯度投影的居民区电动汽车均衡充电策略OA

Residential charging load management is a key means to mitigate the adverse impacts of large-scale electric vehicle(EV)integration on the power grid.However,centralized management compromises users'privacy,and the autonomous response of users under time-of-use electricity prices tends to induce new load peaks.Firstly,a dynamic electricity pricing mechanism is introduced in residential communities,and an aggregative game model is constructed to guide users to spontaneously adjust their charging behaviors and avoid peak-valley reversal.Then,a distributed gradient projection algorithm is proposed to rapidly achieve the Nash equilibrium of the aggregate game,which fully protects the privacy of vehicle owners.Finally,simulation analysis is carried out based on the electricity consumption data of a residential community in southern China.The results show that the proposed method can effectively smooth the peak load caused by EV charging,and the effect is enhanced with the increase in the number of EVs.Compared with the time-of-use pricing mechanism,it can effectively avoid the emergence of new load peaks and meet the requirements of charging load management under the growing penetration of electric vehicles.